Other potential future topics

Paper presentations and discussions
  • M. Werman, D. Kersten. A Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data . PAMI, 23, 5, 528-534, 2001. paper
  • J. C. Carr et al. Reconstruction and Representation of 3D Objects with Radial Basis Functions. SIGGRAPH 2001. webpage
  • Multi-level partitions of unity implicits
  • S. Rusinkiewicz, M. Levoy. Efficient Variants of the ICP Algorithm. 3DPVT. webpage
  • S. Granger and X. Pennec. Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration. In A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors, European Conference on Computer Vision (ECCV 2002), volume 2353 of LNCS, Copenhagen, Denmark, pages 418--432, 2002. Springer paper
Paper presentation and discussions
Model selection
Gaussian Processes

MacKay, Chapter 45

Paper presentations and discussion TBD, most likely:
  • A. O'Hagan. Monte Carlo is Fundamentally Unsound. The Statistician. 1987. 36:2-3. website
  • C. E. Rasmussen, Z. Ghahramani. Bayesian Monte Carlo. 2003. NIPS 15. paper
Texture synthesis and transfer
  • S. Geman and D. Geman. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. PAMI-6, No 6, Nov. 1984.
  • S.Z. Li. ``Modeling Image Analysis Problems Using Markov Random Fields''. In C.R. Rao and D.N. Shanbhag (ed), Stochastic Processes: Modeling and Simulation, Volume 20 of Handbook of Statistics. Elsevier Science. (to appear in 2001).
  • Wei-Levoy, Ashikhmin, Hertzmann et al., Drori et al, Criminisi et al.
  • C. Liu, H. Shum, C. Zhang. A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model. CVPR 2001. paper, powerpoint
  • video textures
  • action synthesis